Papers with mask training

1 papers
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training (2022.naacl-main)

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Challenge: Recent studies show pre-trained language models contain matching subnetworks that have similar transfer learning performance as the original PLM.
Approach: They propose to prune matching subnetworks using magnitude-based pruning . they propose to optimize the subnetwork structure towards the pre-training objectives .
Outcome: The proposed method is more efficient in searching subnetworks and advantageous when fine-tuning within a range of data scarcity.

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